The News:
Google has announced new capabilities for Google Agentspace, aimed at scaling enterprise AI through multimodal search, easy agent creation, and powerful domain-specific agents. Agentspace now integrates directly with Chrome Enterprise, features a new no-code Agent Designer and Agent Gallery, and introduces advanced expert agents like Deep Research and Idea Generation. Read the full announcement here.
Analysis:
According to industry analysts, by 2026, 70% of enterprises will deploy AI agents to augment employee productivity. But adoption hinges on usability, integration, and governance. Google’s Agentspace addresses all three:
- Usability: Integrated in Chrome, powered by Gemini, and operable without code
- Integration: Connects to all major work apps and content sources
- Governance: Built on secure infrastructure with open standards like A2A
In effect, Google is positioning Agentspace as the enterprise OS for intelligent assistants and AI-augmented workflows.
From knowledge access to idea generation and task automation, Agentspace now offers a full spectrum of agentic capability—secure, composable, and extensible across the enterprise.
To explore Agentspace or join the allowlist, visit the official product page.
Why Agentspace Matters Now
As enterprises rapidly move from experimentation to operational AI, they need a unified interface to access organizational intelligence, activate agents, and support knowledge workflows. Google’s Agentspace responds to this need with a centralized agentic layer powered by Gemini, connecting employees with enterprise knowledge, multimodal content, and intelligent agent actions.
Agentspace builds on Google’s strength in search, extending it into enterprise environments by:
- Breaking silos across platforms like Google Workspace, Microsoft 365, Jira, Salesforce, and ServiceNow
- Delivering Google Search-grade results contextualized by internal documents and data
- Supporting multimodal content and grounded enterprise knowledge graphs
With integration into Chrome’s search box, Agentspace now becomes a natural extension of the user’s daily workflow, helping boost adoption while maintaining tight security controls.
Simpler Agent Discovery and Creation
To democratize the creation and use of AI agents, Google is introducing:
- Agent Gallery (GA with allowlist): A centralized view of deployable agents across Google, partners, and internal teams.
- Agent Designer (preview with allowlist): A no-code builder for non-developers to build agents that integrate with enterprise data and automate routine tasks.
By complementing developer tools like Vertex AI Agent Builder, these features enable organizations to support both technical and non-technical employees in building powerful, domain-specific agents.
Specialized Agents for Research and Innovation
As part of this release, Google is adding two expert agents to the Agent Gallery:
- Deep Research Agent: Synthesizes dense internal and external data into comprehensive reports.
- Idea Generation Agent: Uses a multi-agent framework inspired by the scientific method to brainstorm and evaluate ideas.
These capabilities push agentic AI beyond reactive assistants toward proactive co-creators and researchers, supporting knowledge work at an entirely new level.
Built-in Security and Open Protocol Standards
Google ensures enterprise-grade governance through:
- RBAC, encryption with customer-managed keys, and data residency support
- Scanning for PHI/PII/confidential data before agent access
- Integration of the Agent2Agent (A2A) Protocol, enabling cross-platform agent communication
A2A’s interoperability initiative will be key as organizations mix and match agent frameworks across different business units and vendors.
Growing Partner Ecosystem and Marketplace
With agents from Deloitte, Accenture, and others now available via Google Cloud Marketplace, Google is establishing an open, extensible foundation for the enterprise agent economy. Admins can provision approved agents within Agentspace, giving teams secure access to a growing catalog of trusted solutions.
Nubank Tames Real-Time Data Complexity with Apache Pinot, Cuts Cloud Costs by $1M
With over 300,000 Spark jobs running daily, Nubank’s innovative observability platform, powered by Apache Pinot,…
How CrowdStrike Scaled Real-Time Analytics with Apache Pinot
In today’s cybersecurity landscape, time is everything. Threat actors operate at machine speed, and enterprise…
How Grab Built a Real-Time Metrics Platform for Marketplace Observability
In the ever-evolving landscape of digital platforms, few companies operate with the complexity and regional…